S.J. Franks
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
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- Mathematical Biology Tumor Growth 5
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- Cellular Mechanics and Interactions 4
- Co-authors
- John R. King (6 shared papers)Helen M. Byrne (2 shared papers)Claire E. Lewis (2 shared papers)J. C. E. Underwood (1 shared paper)James Underwood (1 shared paper)John Ward (2 shared papers)Gareth Evans (2 shared papers)Marcus J. Tindall (2 shared papers)
- Journals
- Mathematical Medicine and Biology A Journal of the IMA (3 papers)Journal of Mathematical Biology (2 papers)European Journal of Applied Mathematics (1 paper)International Journal of Engineering Science (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
S.J. Franks
10 papers receiving 301 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 201
- Cell Biology 147
- Computational Theory and Mathematics 71
- Cancer Research 47
- Oncology 77
Countries citing papers authored by S.J. Franks
This map shows the geographic impact of S.J. Franks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S.J. Franks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.J. Franks more than expected).
Fields of papers citing papers by S.J. Franks
This network shows the impact of papers produced by S.J. Franks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S.J. Franks. The network helps show where S.J. Franks may publish in the future.
Co-authors
The 22 scholars most cited alongside S.J. Franks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 69 | |
| 2 | 2003 | 67 | |
| 3 | 2003 | 59 | |
| 4 | 2004 | 49 | |
| 5 | 2005 | 41 | |
| 6 | 2004 | 18 | |
| 7 | 2009 | 8 | |
| 8 | 2019 | 7 | |
| 9 | RNN-based inflow forecasting applied to reservoir operation via implicit stochastic optimization | 2007 | 3 |
| 10 | 2008 | 3 | |
| 11 | 2024 | 0 |
About S.J. Franks
S.J. Franks is a scholar working on Modeling and Simulation, Cell Biology, Computational Theory and Mathematics, Molecular Biology and Oncology, having authored 11 papers that have together received 324 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (5 papers), Cellular Mechanics and Interactions (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Immunotoxicology and immune responses (2 papers), Cancer Cells and Metastasis (2 papers), Contact Dermatitis and Allergies (1 paper), Navier-Stokes equation solutions (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Modeling and Simulation (201 citations), Cell Biology (147 citations), Computational Theory and Mathematics (71 citations), Cancer Research (47 citations) and Oncology (77 citations). S.J. Franks has collaborated with scholars based in United Kingdom. Frequent co-authors include John R. King, Helen M. Byrne, Claire E. Lewis, J. C. E. Underwood, James Underwood, John Ward, Gareth Evans, Marcus J. Tindall, Janet M. Lord and Harald Kunstmann. Their work appears in journals such as Mathematical Medicine and Biology A Journal of the IMA, Journal of Mathematical Biology, European Journal of Applied Mathematics, International Journal of Engineering Science and Journal of Theoretical Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.